Description

Lead quality assurance for data ingestion and integration projects within the Data Lake and Data Warehouse team.

This role is on-site.

Responsibilities

• Design, implement, and maintain automated testing frameworks and CI/CD pipelines for data operations.
• Develop and execute test strategies covering SIT and partner on UAT.
• Collaborate with data engineers and developers to ensure data quality, integrity, and traceability.
• Analyze data, troubleshoot issues, and drive defect analysis and triage.
• Create execution metrics and status reporting to drive continuous improvement in QA processes.

Required Skills

• 5+ years of experience in QA or data testing roles.
• Strong proficiency in SQL, ETL testing, and data warehouse concepts (star/snowflake schema, OLAP).
• Hands-on experience with Python, Pytest, Cucumber, and Selenium.
• Experience with Azure DevOps, AWS S3, Snowflake, DataStage, and Zena.
• Proven ability to design and implement scalable test automation frameworks.
• Familiarity with CI/CD tools and data ingestion lifecycles.
• Ability to participate in requirements review, design specification review, and defect triage meetings.

Key Skills

Education

Any Graduate